Tag Archives: Simulate commodity prices

Simulating Interest rates using CIR and HJM While we can club equity, commodity and currency simulators in one category, interest rate simulators are a completely different animal. First because there is more than one way of modeling interest rates Equilibrium models and Arbitrage free models.

Linking Monte Carlo Simulation with Binomial Trees and the Black Scholes model A binomial tree uses the same process to generate a path that the Monte Carlo simulation model uses which is also the same model that the Black Scholes solution integrates over an infinitely

We have introduced our friend mu (u) as drift and sigma as diffusion (or standard deviation or volatility or vol). In the previous session we have also gone out and built a simple excel based Monte Carlo simulation model for generating stock prices. While the

Extending MC simulation models to Currencies & Commodities Extending the original Monte Carlo (MC) Simulator for Equities to Currencies and Commodities required a few simple changes. Rather than using just r, we now use an adjusted r for the model. In the case of currencies

Here is a slightly revised model for calculating the change in price of an equity security. We now add one more component to our generator function. While the first term works off expected return the second term will help us model uncertainty. Since in our world we drive and link uncertainly with volatility, our model also uses a factor proportional to volatility.